{
  "fetched_at": "2026-10-24T05:37:57Z",
  "source_url": "https://www.kaggle.com/competitions/enigma-2096/data",
  "pages": [
    {
      "name": "data-description",
      "content": "Predict the targets for the 2096 elimination\n\n## Files\n\n*   **enigma2096.csv** - the training set, you must use a 66% for training a test it on the 33%remaining, no test file\n\n## Columns\n\n*   `ID` - definition of example_id\n*   `Target` - Binary prediction target",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "No variables explanation",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "Submissions are evaluated on accuracy\n\n\n## Submission File\nFor each ID in the test set, you must predict a binary\n\n    ID,TARGET\n    1000001,0\n    1000002,1\n    1000003,1\n    etc.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "- Don't use AutoML\n- Only scikit models\n- No deep learning",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
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    },
    {
      "name": "abstract",
      "content": "Create a model to get the maximum accuracy",
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      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}